Towards enhancing emotional responses to media using auto-calibrating electric muscle stimulation (EMS)

Takashi Goto, Benjamin Tag, Kai Steven Kunze, Tilman Dingler

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We evaluate the use of Electric Muscle Stimulation (EMS) as a method of amplifying emotional responses to multimedia content. .is paper presents an auto-calibration method to stimulate two facial expressions using EMS. We focus on two expressions: frown and smile. We a.empted control of facial muscles with facial feedback for automatically calibrating these facial expressions: our computer vision system detects the facial expression and autocalibrates the EMS parameters (intensity and duration) based on the user's current facial expression. We present results from a pilot study with four participants evaluating the auto-calibration system and collecting initial feedback on the use of EMS to augment, for example, media experiences: while watching movies we can enhance the emotional response of the users during happy and sad scenes by stimulating corresponding face muscles.

Original languageEnglish
Title of host publicationProceedings of the 9th Augmented Human International Conference, AH 2018
PublisherAssociation for Computing Machinery
VolumePart F134484
ISBN (Electronic)9781450354158
DOIs
Publication statusPublished - 2018 Feb 6
Event9th Augmented Human International Conference, AH 2018 - Seoul, Korea, Republic of
Duration: 2018 Feb 72018 Feb 9

Other

Other9th Augmented Human International Conference, AH 2018
CountryKorea, Republic of
CitySeoul
Period18/2/718/2/9

Fingerprint

Muscle
Calibration
Feedback
Computer vision

Keywords

  • A.ective computing
  • Electrical Muscle Stimulation (EMS)
  • Emotion
  • Facial feedback

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

Cite this

Goto, T., Tag, B., Kunze, K. S., & Dingler, T. (2018). Towards enhancing emotional responses to media using auto-calibrating electric muscle stimulation (EMS). In Proceedings of the 9th Augmented Human International Conference, AH 2018 (Vol. Part F134484). [a29] Association for Computing Machinery. https://doi.org/10.1145/3174910.3174939

Towards enhancing emotional responses to media using auto-calibrating electric muscle stimulation (EMS). / Goto, Takashi; Tag, Benjamin; Kunze, Kai Steven; Dingler, Tilman.

Proceedings of the 9th Augmented Human International Conference, AH 2018. Vol. Part F134484 Association for Computing Machinery, 2018. a29.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Goto, T, Tag, B, Kunze, KS & Dingler, T 2018, Towards enhancing emotional responses to media using auto-calibrating electric muscle stimulation (EMS). in Proceedings of the 9th Augmented Human International Conference, AH 2018. vol. Part F134484, a29, Association for Computing Machinery, 9th Augmented Human International Conference, AH 2018, Seoul, Korea, Republic of, 18/2/7. https://doi.org/10.1145/3174910.3174939
Goto T, Tag B, Kunze KS, Dingler T. Towards enhancing emotional responses to media using auto-calibrating electric muscle stimulation (EMS). In Proceedings of the 9th Augmented Human International Conference, AH 2018. Vol. Part F134484. Association for Computing Machinery. 2018. a29 https://doi.org/10.1145/3174910.3174939
Goto, Takashi ; Tag, Benjamin ; Kunze, Kai Steven ; Dingler, Tilman. / Towards enhancing emotional responses to media using auto-calibrating electric muscle stimulation (EMS). Proceedings of the 9th Augmented Human International Conference, AH 2018. Vol. Part F134484 Association for Computing Machinery, 2018.
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